Edgar
PulseAugur coverage of Edgar — every cluster mentioning Edgar across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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EDGAR framework refines Gaussian avatars using diffusion and MoE
Researchers have developed EDGAR, a new diffusion-driven framework for refining Gaussian avatars, which are used for realistic head reconstruction from images or videos. This method addresses common artifacts like blurr…
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Anthropic files for $2T IPO, reveals $974M Q2 profit and massive compute deals
Anthropic has publicly filed its S-1 registration statement, signaling its intent to list on the Nasdaq under the ticker "ANT". The filing reveals significant financial milestones, including crossing into operating prof…
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Anthropic IPO Filing Delayed Amidst Valuation Debate
Anthropic has not yet publicly filed its S-1 registration statement for an IPO, despite reports suggesting an October 26th filing date. The company confidentially submitted a draft to the US Securities and Exchange Comm…
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Netflix Q3 2026 earnings: Revenue meets forecast, margin beats, full-year targets revised
On October 20, 2026, Netflix released its Q3 earnings, which were analyzed using an MCP server to compare against previous guidance. The company met revenue forecasts, exceeded margin expectations, but revised full-year…
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Self-hosted vs. managed LLM inference for financial documents: A guide
Deploying LLMs for financial documents requires careful consideration of document type, cost, and privacy. Public filings, such as 10-Ks, have minimal privacy concerns and can leverage managed inference services, while …
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Qwen3.8-27B leads as top open-source financial data extractor
A recent analysis highlights Qwen3.8-27B as the top open-source model for extracting structured data from financial reports, particularly for complex schemas requiring judgment. NuExtract3 is identified as the best purp…
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Superlinked Inference Engine cuts LLM costs for financial document processing
The Superlinked Inference Engine (SIE) offers a solution for reducing costs associated with large language model (LLM) calls in financial document processing. The strategy involves identifying high-volume, low-variance …
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FinBridge MCP enables AI agents to access Korean and US stock market data
FinBridge has developed a Model Context Protocol (MCP) to make Korean and U.S. stock market data accessible to AI agents. The system addresses challenges such as strict API rate limits from exchanges like KOSPI and KOSD…
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LLMs and RAG system generate investor briefs from financial data
Researchers have developed a system that uses Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to create investor briefs from financial and macroeconomic data. The system processes reports, SEC fili…
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French bulldog brings joy to St. Louis senior living community
Edgar, a 5-year-old French bulldog, has become a beloved resident at Friendship Village Chesterfield, a senior living community in St. Louis. Introduced in 2020 to combat isolation during COVID-19 lockdowns, Edgar now r…
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Stanford releases 152B-token dataset for financial LLM training
Researchers have introduced the Stanford EDGAR Filings Dataset (SEFD), a new open-source corpus designed to provide clean, long-context documents for training large language models, particularly in the financial domain.…
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LLM agents excel at forensic accounting in quantitative finance
Large language model agents are proving effective in quantitative finance, particularly for large-scale forensic accounting tasks that were previously time-consuming for human analysts. These agents can reliably extract…
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Developer launches unified tool for company intelligence in AI agents
A developer has created a unified tool called Company Intelligence MCP to streamline research on companies for AI agents. This tool consolidates data from various sources like SEC filings, patent databases, and domain i…